Vyacheslav Lyubchich

Orcid: 0000-0001-7936-4285

According to our database1, Vyacheslav Lyubchich authored at least 12 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Modern Data Science with R (2nd ed.): by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton, Boca Raton, FL: Chapman and Hall/CRC Press, 2021, 650 pp., $99.95 (Hardback), ISBN: 978-0-36-719149-8.
Technometrics, 2022

2021
GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks.
IEEE Trans. Knowl. Data Eng., 2021

Time Series Clustering and Classification.
Technometrics, 2021

2020
Spatial Ecology and Conservation Modeling: Applications With R.
Technometrics, 2020

Elements of Copula Modeling With R.
Technometrics, 2020

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico.
IEEE Access, 2020

2019
Deep Learning for Improved Agricultural Risk Management.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Snowboot: Bootstrap Methods for Network Inference.
R J., 2018

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2016
Estimation of river and stream temperature trends under haphazard sampling.
Stat. Methods Appl., 2016

A local factor nonparametric test for trend synchronism in multiple time series.
J. Multivar. Anal., 2016

A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median.
Comput. Stat. Data Anal., 2016


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